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Different breeds boast different designs, from a simple peak to a hood of plumage that buries the head.
In order to increase the efficiency, many unnecessary spectral bins are discarded for the subsequent analysis using a simple peak picking algorithm to extract the hypothetical partials.
The latter, with a simple peak stress condition, i.e. a simple Notch Analogue model, simply stating that below the fatigue limit, infinite life is predicted for any size of contact.
Typically, resonance frequency (f_{0}) and quality-factor Q can be extracted by a simple peak search and a numerical direct extraction of the quality-factor from a ratio of band-width at half maximum peak value and resonance frequency.
As detection is not the focus here, a simple peak picking strategy identical to the one used in [1] is used to extract the multipath time delays from the range profile.
The first is based on a moving average filter, the second is a simple peak detection and elimination (SPD) and the last is a peak detection based on the frequency of the input signal to the GPD SFPDD).
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Frames classified as onsets are then treated with a simple peak-picking algorithm based on a moving average.
First, a preliminary pitch estimation is obtained by means of a simple peak-picking procedure in the pitch energy spectrum.
The method is based on a simple peak-finding logic using the K-Nearest Neighbor (KNN) and Particle Swarm Optimization (PSO).
A simple peak-finding algorithm based on a user-defined threshold and a pulse-width minimum generates an 'event' list.
This approach is superior to simple peak-trough detection algorithms, as commonly used previously in the GI HR mapping field [ 5, 20], because it better accounts for competing noise and slow wave fractionation, thereby improving accuracy [ 21].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com